AudioCraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio…
Machine-learning karaoke with scores — sing at home, for free.
nightingale is an open-source audio project by rzru (rzru/nightingale on GitHub). It has 1,484 GitHub stars and 111 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 2 October 2026.
Launch it in your browser or as a desktop build.
Choose a song from the available catalog.
ML separation handles the backing track while you sing.
Get rated on pitch and timing, then retry for a better score.
Uses machine learning to build sing-along backing tracks.
Rates your singing so you can track improvement.
Runs in the browser with a polished karaoke interface.
Scoring turns practice into a friendly competition.
Free and open; derivatives must stay open too.
Recent commits show it is still being improved.
Download the source and move into the project folder.
git clone https://github.com/rzru/nightingale.git
cd nightingaleEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at rzru/nightingale with 111 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 licensed — free to use, but modified versions must also be GPL.
It uses ML analysis of pitch and timing to score your performance against the track.
Just a computer with a microphone; no special karaoke machine required.
The app provides a catalog; check the project docs for details on adding tracks.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio…
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Audio Editor
Nebulynk — a self-hosted home for your team's conversations, calls, publicly available.
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if nightingale is not the right fit.
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.